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Clinical registry metadata as a hidden bottleneck in AI-driven drug discovery: a computational audit of translational phase data in glioma research

2026-02-24

Abstract excerpt

<title>Abstract</title> <p>Clinical translation in glioma and glioblastoma remains inefficient despite advances in computational drug discovery. An underrecognized contributor to this gap is structural degradation of clinical registry metadata. When clinical descriptors are not machine-readable or semantically consistent, even robust algorithms generate biologically sound yet clinically non-translatable outputs....

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Literature Corpus work
a886cb66-4454-5394-8caa-88211ca5c3f2
DOI
10.21203/rs.3.rs-8691947/v1
Open publication

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Clinical registry metadata as a hidden bottleneck in AI-driven drug discovery: a computational audit of translational phase data in glioma researchDOI 10.21203/rs.3.rs-8691947/v1
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